The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
TLR1- and TLR6-independent Recognition of Bacterial Lipopeptides
Open accessAbstract
Bacterial cell walls contain lipoproteins/peptides, which are strong modulators of the innate immune system. Triacylated lipopeptides are assumed to be recognized by TLR2/TLR1-, whereas diacylated lipopeptides use TLR2/TLR6 heteromers for signaling. Following our initial discovery of TLR6-independent diacylated lipopeptides, we could now characterize di- and triacylated lipopeptides (e.g. Pam(2)C-SK(4), Pam(3)C-GNNDESNISFKEK), which have stimulatory activity in TLR1- and in TLR6-deficient mice. Furthermore, for the first time, we present triacylated lipopeptides with short length ester-bound fatty acids (like PamOct(2)C-SSNASK(4)), which induce no response in TLR1-deficient cells. No differences in the phosphorylation of MAP kinases by lipopeptide analogs having different TLR2-coreceptor usage were observed. Blocking experiments indicated that different TLR2 heteromers recognize their specific lipopeptide ligands independently from each other. In summary, a triacylation pattern is necessary but not sufficient to render a lipopeptide TLR1-dependent, and a diacylation pattern is necessary but not sufficient to render a lipopeptide TLR6-dependent. Contrary to the current model, distinct lipopeptides are recognized by TLR2 in a TLR1- and TLR6-independent manner.
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Janeway, C. A., & Medzhitov, R. (2002) · Annual Review of Immunology · doi:10.1146/annurev.immunol.20.083001.084359 · Cited by 8,394
Akira, S., & Takeda, K. (2004) · Nature reviews. Immunology · doi:10.1038/nri1391 · Cited by 8,312
Self-citationTakeuchi, O., Hoshino, K., Kawai, T., Sanjo, H., Takada, H., Ogawa, T., Takeda, K., & Akira, S. (1999) · Immunity · doi:10.1016/s1074-7613(00)80119-3 · Cited by 3,362
Self-citationOzinsky, A., Underhill, D. M., Fontenot, J. D., Hajjar, A. M., Smith, K. D., Wilson, C. B., Schroeder, L., & Aderem, A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.250476497 · Cited by 2,085
Peptidoglycan- and Lipoteichoic Acid-induced Cell Activation Is Mediated by Toll-like Receptor 2
Schwandner, R., Dziarski, R., Wesche, H., Rothe, M., & Kirschning, C. J. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.25.17406 · Cited by 1,704
Cutting Edge: Role of Toll-Like Receptor 1 in Mediating Immune Response to Microbial Lipoproteins
Takeuchi, O., Sato, S., Horiuchi, T., Hoshino, K., Takeda, K., Dong, Z., Modlin, R. L., & Akira, S. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.169.1.10 · Cited by 1,329
Self-citationYoshimura, A., Lien, E., Ingalls, R. R., Tuomanen, E., Dziarski, R., & Golenbock, D. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.163.1.1 · Cited by 1,234
Discrimination of bacterial lipoproteins by Toll-like receptor 6
Takeuchi, O., Kawai, T., Mühlradt, P. F., Morr, M., Radolf, J. D., Zychlinsky, A., Takeda, K., & Akira, S. (2001) · International Immunology · doi:10.1093/intimm/13.7.933 · Cited by 1,232
Self-citationToll-like Receptor 2 Functions as a Pattern Recognition Receptor for Diverse Bacterial Products
Lien, E., Sellati, T. J., Yoshimura, A., Flo, T. H., Rawadi, G., Finberg, R. W., Carroll, J. D., Espevik, T., Ingalls, R. R., Radolf, J. D., et al. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.47.33419 · Cited by 918
CD36 is a sensor of diacylglycerides
Hoebe, K., Georgel, P., Rutschmann, S., Du, X., Mudd, S., Crozat, K., Sovath, S., Shamel, L., Hartung, T., Zähringer, U., et al. (2005) · Nature · doi:10.1038/nature03253 · Cited by 873
Cited by
Innate Immune Pattern Recognition: A Cell Biological Perspective
Brubaker, S. W., Bonham, K. S., Zanoni, I., & Kagan, J. C. (2015) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032414-112240 · Cited by 1,475
Recognition of Lipopeptide Patterns by Toll-like Receptor 2-Toll-like Receptor 6 Heterodimer
Kang, J. Y., Nan, X., Jin, M. S., Youn, S.-J., Ryu, Y. H., Mah, S., Han, S. H., Lee, H., Paik, S.-G., & Lee, J.-O. (2009) · Immunity · doi:10.1016/j.immuni.2009.09.018 · Cited by 765
Karczewski, J., Troost, F. J., Konings, I., Dekker, J., Kleerebezem, M., Brummer, R.-J. M., & Wells, J. M. (2010) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00327.2009 · Cited by 676
Innate immune sensing of pathogens and danger signals by cell surface Toll-like receptors
Miyake, K. (2007) · Seminars in Immunology · doi:10.1016/j.smim.2006.12.002 · Cited by 522
Modern Subunit Vaccines: Development, Components, and Research Opportunities
Moyle, P. M., & Toth, I. (2013) · ChemMedChem · doi:10.1002/cmdc.201200487 · Cited by 464
Metadata
- Authors
- Buwitt-Beckmann, U., Heine, H., Wiesmüller, K.-H., Jung, G., Brock, R., Akira, S., & Ulmer, A. J.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 281
- Issue
- 14
- Pages
- 9049-9057
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2096210882
- Cited by
- 255
- References
- 37
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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